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  • linudz
    Junior Member
    • Feb 2017
    • 3

    Minimum (ir maximum) bam depth/coverage for structural variation analyses

    *or maximum

    We are studying structural variation in several plant genomes Illmumina pair-end DNA re-sequencing, and noticed that the number of deletions in some samples (PINDEL) drops significantly. After having boldly calculated the depth as

    [number of reads] x mean read length / genome size

    we noticed that in these samples the depth was way lower (around 10 folds on an average of 50).

    I was wondering if there is some lower or higher limit in a sample depth to start considering an adulterated result.

    Thanks.

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  • GATTACAT
    Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by GATTACAT
    Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
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  • SEQadmin2
    Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by SEQadmin2


    I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

    Here are nine questions we think about, in roughly the order they matter, before...
    06-18-2026, 07:11 AM

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